Problem Analysis #1

Solar-Open-100B · Run 2

98.66s
15,409 toks
Problem Statement

Let CC be the binary linear code

C={(a1,a1,a2,a2,…,a8,a8)∈F216:ai∈F2}.C=\{(a_1,a_1,a_2,a_2,\dots,a_8,a_8)\in\mathbb{F}_2^{16} : a_i\in\mathbb{F}_2\}.

How many binary linear codes are there which are equivalent (under coordinate permutations) to CC?

Ground Truth
2027025
Execution Trace
Reasoning Process

[THOUGHT] We need to determine how many distinct binary linear codes are equivalent to C under coordinate permutations. This means we count the number of distinct codes obtained by permuting the coordinates of C. The code C consists of all vectors where each pair of coordinates (1,2), (3,4), ..., (15,16) are equal. The stabilizer of C under the symmetric group on 16 coordinates consists of permutations that either preserve each pair or swap the two coordinates within a pair, and also permute the pairs among themselves. This stabilizer is isomorphic to (Z2)^8 ⋊ S8, so its size is 2^8 * 8!. The orbit size (number of distinct codes) is 16! divided by the stabilizer size. Computing this gives 2027025. [/THOUGHT] [PYTHON] import math

num = math.factorial(16) // (2**8 * math.factorial(8)) print(num) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 2027025 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python computation confirms that the number of distinct codes equivalent to C under coordinate permutations is 2027025. [/THOUGHT]

2027025\boxed{2027025}

Final Model Output
2027025

Comparative Analysis (P1) (Average across runs)

Avg Time Taken

K-EXAONE-236B-A23B
171.0
Solar-Open-100B
60.6
Gemini-3-Pro-Preview
50.2
Kanana-2-30B-Thinking-2601
39.1
Kanana-2-30B-Thinking
33.8
HCX-007
24.0
Solar-Pro 2
21.7
GLM-4.5-Air
17.0
GPT-5.2 (high)
15.3
EXAONE-4.0-32B
4.2

Avg Token Usage

Solar-Open-100B
10,335
Kanana-2-30B-Thinking-2601
7,969
Gemini-3-Pro-Preview
7,038
K-EXAONE-236B-A23B
6,655
Kanana-2-30B-Thinking
6,208
Solar-Pro 2
5,698
EXAONE-4.0-32B
3,295
GPT-5.2 (high)
2,904
HCX-007
2,848
GLM-4.5-Air
2,691